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Atoms Molecules and Ions Lecture (Chemistry)
Atoms Molecules and Ions Lecture
People have always been fascinated by changes, particularly by those that are dramatic or useful. In the ancient world, the change that occurred when a stick of wood burned, gave off heat, and turned into a small pile of ash was especially important. Similarly, the change that occurred when a reddish lump of rock (iron ore) was heated with charcoal and produced a gray metal (iron) useful for making weapons, tools, and other implements was of enormous value. Observing such changes eventually caused philosophers to think about what different materials might be composed of and led to the idea of fundamental substances that we today call elements.
From the above it is clear that Atoms Molecules and Ions Lecture is very important. With the help of this teaching resources you will be able to explain your students what is it Atoms Molecules and Ions. Atoms Molecules and Ions teaching resources will suite any teacher/lecturer or tutor who is going or planning to conduct Atoms Molecules and Ions Lecture or Seminar.
LEARNING OBJECTIVES OF THE LECTURE:
Chemistry and the elements elements and the periodic table
Some Common Groups of elements and their properties
Observations Supporting atomic theory: the Conservation of Mass and the Law of Definite proportions
The Law of Multiple proportions and Dalton’s atomic theory
Atomic Structure: electrons
Atomic Structure: protons and Neutrons
Atomic Numbers
Atomic Weights and the Mole
Mixtures and Chemical Compounds; Molecules and Covalent Bonds
Ions and Ionic Bonds
Naming Chemical Compounds
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Reactions in Aqueous Solution Lecture (Chemistry)
Reactions in Aqueous Solution Lecture
Our world is based on water. Approximately 71% of the Earth’s surface is covered by water, and another 3% is covered by ice; 66% of the mass of an adult human body is water, and water is needed to sustain all living organisms. It’s therefore not surprising that a large amount of important chemistry, including all those reactions that happen in our bodies, takes place in water—that is, in aqueous solution.
From the above it is clear that Reactions in Aqueous Solution Lecture is very important. With the help of this teaching resources you will be able to explain your students what is it Reactions in Aqueous Solution. Reactions in Aqueous Solution teaching resources will suite any teacher/lecturer or tutor who is going or planning to conduct Reactions in Aqueous Solution Lecture or Seminar.
LEARNING OBJECTIVES OF THE LECTURE:
• Solution Concentration: Molarity
• Diluting Concentrated Solutions
• Electrolytes in Aqueous Solution
• Types of Chemical Reactions in Aqueous Solution
• Aqueous Reactions and Net Ionic Equations
• Precipitation Reactions and Solubility Guidelines
• Acids, Bases, and Neutralization Reactions
• Solution Stoichiometry
• Measuring the Concentration of a Solution: Titration
• Oxidation–Reduction (Redox) Reactions
• Identifying Redox Reactions
• The Activity Series of the Elements Redox Titrations
• Some Applications of Redox Reactions
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Mass Relationships in Chemical Reactions Lecture (Chemistry)
Mass Relationships in Chemical Reactions Lecture
Mass relationship between reactants and products can be used to calculate how much carbon dioxide is released when gasoline or other carbon-containing fuels are burned. It’s important to realize that chemical reactions—the change of one substance into another—are at the heart of the science. Nearly every process that occurs in your body, including vision, the sensation of pain, and the conversion of food to energy, is in essence a series of chemical reactions. Likewise, products we use every day such as dyes, plastics, computer chips, and metals are manufactured by chemical reactions.
From the above it is clear that Chemical Tools Experimentation and Measurement Lecture is very important. With the help of this teaching resources you will be able to explain your students what is it Chemical Tools Experimentation and Measurement. Chemical Tools Experimentation and Measurement teaching resources will suite any teacher/lecturer or tutor who is going or planning to conduct Chemical Tools Experimentation and Measurement Lecture or Seminar.
LEARNING OBJECTIVES OF THE LECTURE:
• Representing Chemistry on Different Levels
• Balancing Chemical Equations
• Chemical Arithmetic: Stoichiometry
• Yields of Chemical Reactions
• Reactions with Limiting Amounts of Reactants
• Percent Composition and Empirical Formulas
• Determining Empirical Formulas: Elemental Analysis
• Determining Molecular Weights: Mass Spectrometry
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Periodicity and the Electronic Structure of Atoms Lecture (Chemistry)
Periodicity and the Electronic Structure of Atoms Lecture
The color emitted by elements heated in a flame arises from electrons moving between different energy levels in an atom. Atoms emit characteristic colors because each has its own unique energy levels, referred to as electronic structure.
From the above it is clear that Periodicity and the Electronic Structure of Atoms Lecture is very important. With the help of this teaching resources you will be able to explain your students what is it Periodicity and the Electronic Structure of Atoms. Periodicity and the Electronic Structure of Atoms teaching resources will suite any teacher/lecturer or tutor who is going or planning to conduct Periodicity and the Electronic Structure of Atoms Lecture or Seminar.
LEARNING OBJECTIVES OF THE LECTURE:
• The Nature of radiant energy and the electromagnetic Spectrum
• Particlelike properties of radiant energy: the photoelectric effect and planck’s postulate
• The Interaction of radiant energy with atoms: Line Spectra
• The Bohr Model of the atom: Quantized energy
• Wavelike properties of Matter: de Broglie’s hypothesis
• The Quantum Mechanical Model of the atom: heisenberg’s Uncertainty principle
• The Quantum Mechanical Model of the atom: Orbitals and Quantum Numbers
• The Shapes of Orbitals
• Electron Spin and the pauli exclusion principle
• Orbital energy Levels in Multielectron atoms
• Electron Configurations of Multielectron atoms
• Anomalous electron Configurations
• Electron Configurations and the periodic table
• Electron Configurations and periodic properties: atomic radii
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Covalent Compounds Bonding Theories and Molecular Structure Lecture (Chemistry)
Covalent Compounds Bonding Theories and Molecular Structure Lecture
Artist’s rendition of the human opioid receptor, a molecule on the surface of brain cells that binds to opioids and is centrally involved in pleasure, pain, addiction, and depression. Binding of small molecules to biological receptors is governed by shape and intermolecular forces, two properties of molecules that we’ll discuss in this lecture.
From the above it is clear that Covalent Compounds Bonding Theories and Molecular Structure Lecture is very important. With the help of this teaching resources you will be able to explain your students what is it Covalent Compounds Bonding Theories and Molecular Structure. Covalent Compounds Bonding Theories and Molecular Structure teaching resources will suite any teacher/lecturer or tutor who is going or planning to conduct Ionic Covalent Compounds Bonding Theories and Molecular Structure Lecture or Seminar.
LEARNING OBJECTIVES OF THE LECTURE:
• Molecular Shapes: the VSepr Model
• Valence Bond theory
• Hybridization and sp3 hybrid Orbitals
• Other Kinds of hybrid Orbitals
• polar Covalent Bonds and Dipole Moments
• Intermolecular Forces
• Molecular Orbital theory: the hydrogen Molecule
• Molecular Orbital theory: Other Diatomic Molecules
• Combining Valence Bond theory and Molecular Orbital theory
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Covalent Bonding and Electron-Dot Structures Lecture (Chemistry)
Covalent Bonding and Electron-Dot Structures Lecture
Parathion is an organophosphate insecticide used to control pests in many crops such as corn, wheat, and cotton. The toxicity of organophosphate compounds is influenced by the properties of chemical bonds discussed in this lecture.
From the above it is clear that Covalent Bonding and Electron-Dot Structures Lecture is very important. With the help of this teaching resources you will be able to explain your students what is it Covalent Bonding and Electron-Dot Structures. Covalent Bonding and Electron-Dot Structures teaching resources will suite any teacher/lecturer or tutor who is going or planning to conduct Ionic Covalent Bonding and Electron-Dot Structures Lecture or Seminar.
LEARNING OBJECTIVES OF THE LECTURE:
• Covalent Bonding in Molecules Strengths of Covalent Bonds
• Polar Covalent Bonds: Electronegativity
• A Comparison of Ionic and Covalent Compounds
• Electron-Dot Structures: The Octet Rule
• Procedure for Drawing Electron-Dot Structures
• Drawing Electron-Dot Structures for Radicals
• Electron-Dot Structures of Compounds Containing Only Hydrogen and Second-Row Elements
• Electron-Dot Structures and Resonance
• Formal Charges
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Ionic Compounds Periodic Trends and Bonding Theory Lecture (Chemistry)
Ionic Compounds Periodic Trends and Bonding Theory Lecture
Most ionic compounds, such as table salt, are crystalline solids. Surprisingly, the ionic compound in this reactor is a liquid used as a solvent in chemical processes.
From the above it is clear that Ionic Compounds Periodic Trends and Bonding Theory Lecture is very important. With the help of this teaching resources you will be able to explain your students what is it Ionic Compounds Periodic Trends and Bonding Theory. Ionic Compounds Periodic Trends and Bonding Theory teaching resources will suite any teacher/lecturer or tutor who is going or planning to conduct Ionic Compounds Periodic Trends and Bonding Theory Lecture or Seminar.
LEARNING OBJECTIVES OF THE LECTURE:
• Electron Configurations of Ions Ionic Radii
• Ionization Energy
• Higher Ionization Energies Electron Affinity
• The Octet Rule
• Ionic Bonds and the Formation of Ionic Solids
• Lattice Energies in Ionic Solids
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Normal Probability Distributions Lecture (Elementary Statistics Module)
Normal Probability Distributions Lecture (Elementary Statistics Module)
In this lecture we introduce continuous probability distributions, and most of this lecture focuses on normal distributions.
Here are the lecture objectives:
The Standard Normal Distribution
• Describe the characteristics of a standard normal distribution.
• Find the probability of some range of z values in a standard normal distribution.
• Find z scores corresponding to regions under the curve representing a standard normal distribution.
Real Applications of Normal Distributions
• Develop the ability to describe a normal distribution (not necessarily a standard normal distribution).
• Find the probability of some range of values in a normal distribution.
• Find x scores corresponding to regions under the curve representing a normal distribution.
Sampling Distributions and Estimators
• Develop the ability to describe a sampling distribution of a statistic.
• Determine whether a statistic serves as a good estimator of the corresponding population parameter.
The Central Limit Theorem
• Describe what the central limit theorem states.
• Apply the central limit theorem by finding the probability that a sample mean falls within some specified range of values.
• Identify conditions for which it is appropriate to use a normal distribution for the distribution of sample means.
Assessing Normality
• Develop the ability to examine histograms, outliers, and normal quanile plots to determine whether sample data appear to be from a population having a distribution that is approximately normal.
Normal as Approximation to Binomial
• Identify conditions for which it is appropriate to use a normal distribution as an approximation to a binomial brobability distribution.
• Use the normal distribution for approximating probabilities for a binomial distribution
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Normal Probability Distributions Lecture Power Point Presentation
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Estimating Parameters and Determining Sample Sizes Lecture (Elementary Statistics Module)
Estimating Parameters and Determining Sample Sizes Lecture (Elementary Statistics Module)
In this lecture we begin the study of methods of inferential statistics. The following are the major activities of inferential statistics, and this lecture introduces methods for the first activity of using sample data to estimate population parameters.
Major Activities of Inferential Statistics
Use sample data to estimate values of population parameters (such as a population proportion or population mean).
Use sample data to test hypotheses (or claims) made about population parameters.
Here are the lecture objectives:
Estimating a Population Proportion
• Construct a confidence interval estimate of a population proportion and interpret such confidence interval estimates.
• Identify the requirements necessary for the procedure that is used, and determine whether those requirements are satisfied.
• Develop the ability to determine the sample size necessary to estimate a population proportion.
Estimating a Population Mean
• Construct a confidence interval estimate of a population mean, and be able to interpret such confidence interval estimates.
• Determine the sample size necessary to estimate a population mean.
Estimating a Population Standard Deviation or Variance
• Develop the ability to construct a confidence interval estimate of a population standard deviation or variance, and be able to interpret such confidence interval estimates.
Bootstrapping: Using Technology for Estimates
• Develop the ability to use technology along with the bootstrapping method to construct a confidence interval estimate of a population proportion, population mean, and population standard deviation and population variance.
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Estimating Parameters and Determining Sample Sizes Lecture Power Point Presentation
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Test bank to Estimating Parameters and Determining Sample Sizes with all answers to them in order to assess your students. (Overall there are 3 Variants of tests with different questions and all answers to them)
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Test Bank for Estimating Parameters and Determining Sample Sizes
Test Bank for Estimating Parameters and Determining Sample Sizes (Elementary Statistics Module)
Test bank to Estimating Parameters and Determining Sample Sizes with all answers to them in order to assess your students. Overall there are 3 Variants of tests with 20 different questions each and all answers to them. All questions are different in all 3 variants of test banks, so overall there are 60 questions and answers to them.
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Test Bank for Hypothesis Testing (Elementary Statistics Module)
Test Bank for Hypothesis Testing (Elementary Statistics Module)
Test Bank for Hypothesis Testing with all answers to them in order to assess your students. Overall there are 3 Variants of tests with 20 different questions each and all answers to them. All questions are different in all 3 variants of test banks, so overall there are 60 questions and answers to them.
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Probability Lecture (Elementary Statistics Module)
Probability Lecture (Elementary Statistics Module)
This is a lecture which is covered during Elementary Statistics Module with students who just started to learn Statistics.
The main objective of this chapter is to develop a sound understanding of probability values, because those values constitute the underlying foundation on which methods of inferential statistics are built. The important methods of hypothesis testing commonly use P-values, which are probability values expressed as numbers between 0 and 1, inclusive. Smaller probability values, such as 0.01, correspond to events that are very unlikely. Larger probability values, such as 0.99, correspond to events that are very likely.
Agenda of Introduction to Statistics Lecture is as following:
Basic Concepts of Probability
• Identify probabilities as values between 0 and 1, and interpret those values as expressions of likelihood of events.
• Develop the ability to calculate probabilities of events.
• Define the complement of an event and calculate the probability of that complement.
Addition Rule and Multiplication Rule
• Develop the ability to calculate the probability that in a single trial, some event A occurs pr some event B occurs or they both occur. Apply the addition rule by correctly adjusting for events that are not disjoint.
• Develop the ability to calculate the probability of an event A occurring in a first trial and an event B occurring in a second trial. Apply the multiplication rule by adjusting for events that are not independent.
• Distinguish between independent events and dependent events
Complements, Conditional Probability, and Bayes` Theorem
• Compute the probability of “at least one” occurrence of an event A.
• Apply the multiplication rule by computing the probability of some event, given that some other event has already occurred.
Counting
• Develop the ability to apply the fundamental counting rule, factorial rule, permutations rule, and combinations rule.
• Distinguish between circumstances requiring the permutations rule and those requiring the combinations rule.
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Probability Lecture Power Point Presentation
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Describing, Exploring, and Comparing Data Lecture (Elementary Statistics Module)
Introduction to Statistics (Elementary Statistics Module)
Describing, Exploring, and Comparing Data Lecture (Elementary Statistics Module)
Describing, Exploring, and Comparing Data Lecture (Elementary Statistics Module)
This is a lecture which is covered during Elementary Statistics Module with students who just started to learn Statistics. With the help of this lecture you will be able to explain your students how to describe, explore as well as compare data which might be received with any data collection method!
Agenda of Introduction to Statistics Lecture is as following:
Measures of Center
• Develop the ability to measure the center of data by finding the mean, median,
mode, and midrange.
• Determine whether an outlier has a substantial effect on the mean and median.
Measures of Variation
• Develop the ability to measure variation in a set of sample data by finding values of
the range, variance, and standard deviation.
• Develop the ability to interpret values of the standard deviation by applying the
range rule of thumb to determine whether a particular value is significantly low or
significantly high.
Measures of Relative Standing and Boxplots
• Develop the ability to compute a z score and use the result to determine whether a
given value x is significantly low or significantly high.
• Identify percentile values and quartile values from a set of data.
• Develop the ability to construct a boxplot from a set of data.
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Describing, Exploring, and Comparing Data lecture Power Point Presentation
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Introduction to Statistics (Elementary Statistics Module)
Exploring Data with Tables and Graphs Lecture (Elementary Statistics Module)
Strategy Evaluation and Governance Lecture (Strategic Management)
Strategy Evaluation and Governance Lecture (Strategic Management)
This lecture describes how to effectively evaluate strategies and make timely changes as needed. In this context, Moreover, it explains how to develop a Balanced Scorecard and utilize contingency planning. Since boards of directors are generally responsible for the firm’s overall performance, governance issues are discussed in this lecture.
Learning Objectives of lecture:
Discuss the strategy-evaluation process.
Discuss three activities that comprise strategy evaluation.
Describe and develop a Balanced Scorecard.
Discuss the role of a board of directors (governance) in strategic planning.
Identify and discuss four challenges in strategic management.
Identify and describe 17 guidelines for effective strategic management.
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Strategy Evaluation and Governance Lecture Power Point Presentation
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Global and International Issues Lecture (Strategic Management)
Global and International Issues Lecture (Strategic Management)
This lecture explains how to identify and manage global issues in formulating, implementing, and evaluating strategies. Special topics include business culture, business climate, labor unions, protectionism, tax rate variation, and management style variation across countries. Moreover, it describes how communication and business practice vary across countries so that strategic planning can be more effective.
Learning Objectives of lecture:
Discuss the nature of doing business globally, including labor union issues and tax rates.
Explain the advantages and disadvantages of doing business globally.
Discuss the global challenge facing firms, including outsourcing and reshoring.
Compare and contrast American business culture versus foreign business cultures; explain why this is a strategic issue.
Discuss business culture, with emphasis on Mexico, Japan, China, and India.
Discuss business climate, with emphasis on Africa, China, Indonesia, India, and Mexico.
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Global and International Issues Lecture Power Point Presentation
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Business Ethics, Environmental Sustainability and Corporate Social Responsibility Lecture (Str. Mng)
Business Ethics, Environmental Sustainability and Corporate Social Responsibility Lecture (Strategic Management)
This lecture describes the importance of business ethics, environmental sustainability, and social responsibility in strategic management, including such topics as workplace romance, bribery, pollution abatement, whistleblowing, animal welfare, and philanthropy. Issues related to these topics can significantly bolster or derail the best strategic plan, so this lecture explains how these topics can best be managed.
Learning Objectives of lecture:
Explain why good ethics is good business in strategic management.
Explain why whistle-blowing, bribery, and workplace romance are strategic issues.
Discuss why environmental sustainability is a key issue in strategic planning.
Discuss why corporate social responsibility (CSR) is a key issue in strategic planning.
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Business Ethics, Environmental Sustainability and Corporate Social Responsibility Lecture Power Point Presentation
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Introduction to Statistics (Elementary Statistics Module)
Introduction to Statistics lecture is part of the Elementary Statistics Module. With the help of this lecture you will be able to introduce the basics of statistics to your students.
Agenda of Introduction to Statistics Lecture is as following:
1-1 Statistical and Critical Thinking
1-2 Types of Data
1-3 Collecting Sample Data
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Introduction to Statistics lecture Power Point Presentation
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Exploring Data with Tables and Graphs Lecture (Elementary Statistics Module)
Exploring Data with Tables and Graphs Lecture (Elementary Statistics Module)
This lecture provides tools that enable us to gain insight into data by organizing, summarizing, and representing them in ways that enable us to see important characteristics of the data.
Agenda of Introduction to Statistics Lecture is as following:
Frequency Distributions for Organizing and Summarizing Data
• Develop an ability to summarize data in the format of a frequency distribution and a relative frequency distribution.
• For a frequency distribution, identify values of class width, class midpoint, class limits, and class boundaries.
Histograms
• Develop the ability to picture the distribution of data in the format of a histogram or relative frequency histogram.
• Examine a histogram and identify common distributions, including a uniform distribution and a normal distribution.
Graphs That Enlighten and Graphs That Deceive
• Develop an ability to graph data using a dotplot, stemplot, time-series graph, Pareto chart, pie chart, and frequency polygon.
• Determine when a graph is deceptive through the use of a nonzero axis or a pictograph that uses an object of area or volume for one-dimensional data.
Scatterplots Correlation and Regression
• Develop an ability to construct a scatterplot of paired data.
• Analyze a scatterplot to determine whether there appears to be a correlation between two variables.
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Exploring Data with Tables and Graphs lecture Power Point Presentation
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Introduction to Statistics (Elementary Statistics Module)
Test Bank for Analysis of Variance (Elementary Statistics Module)
Test Bank for Analysis of Variance (Elementary Statistics Module)
Test Bank for Analysis of Variance with all answers to them in order to assess your students. Overall there are 3 Variants of tests with 20 different questions each and all answers to them. All questions are different in all 3 variants of test banks, so overall there are 60 questions and answers to them.
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Test Bank for Nonparametric Tests (Elementary Statistics Module)
Test Bank for Nonparametric Tests (Elementary Statistics Module)
Test Bank for Nonparametric Tests with all answers to them in order to assess your students. Overall there are 3 Variants of tests with 20 different questions each and all answers to them. All questions are different in all 3 variants of test banks, so overall there are 60 questions and answers to them.
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